Gamification and Interdisciplinary Scientific Research: Scientific Text Mining

Gamification and Interdisciplinary Scientific Research: Scientific Text Mining

Olga Kononova, Dmitry Prokudin, and Angelina Timofeeva

Abstract

"This study investigates the issues of forming the terminological base of interdisciplinary areas of scientific research to discover new knowledge, to make the prediction, such as to identify the public discourse effects on the dynamics of scientific interests. The goals of this paper are to highlight gamification as interdisciplinary area and to represent the complex approach to contextual knowledge research with scientific text mining on the example of “The gamification in the main spheres of digital society” topic. In the work, we use the capabilities of contextual search and extraction of metadata from texts, describing the use of gamification in various fields of activity, followed by quantitative and qualitative processing of the textual arrays obtained. The knowledge gained was used to expand the capabilities of the synthetic method in the part of the text mining analysis as well as the construction and interpretation technique of subject-specific trends. The conclusion of the research consists in the establishment of the sustainable dependence amongst scientific and public discourse: socio-political initiatives form the modern public life which term-concepts identify not only applying technologies in the life of society as such but the scientific discourse directions."

Reference

Kononova, O., Prokudin, D., & Timofeeva, A (2020). GAMIFICATION AND INTERDISCIPLINARY SCIENTIFIC RESEARCH: SCIENTIFIC TEXT MINING. https://www.elearning-conf.org/wp-content/uploads/2020/07/05_202008C026_S024.pdf

Keywords

Contextual Knowledge, Contextual Search, Digital Society, Interdisciplinary Scientific Research, Synthetic Technique, Scientific Text Mining, Subject-Specific Trends, Terminological Landscape